CDCAT: A multi-language cross-document entity and event coreference annotation tool

Xu, Yang; Xia, Boming; Wan, Yueliang; Zhang, Fan; Xu, Jiabo; Ning, Huansheng

doi:10.26599/tst.2020.9010060

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Finally, refs. [40,41] illustrates the Clarification of research design, research methods, and methodology: A guide for public administration researchers and practitioners, and tabular Comparing and contrasting research methods and methodology concepts.…”

Section: Research Methods Conducted In the Designmentioning

confidence: 99%

Design Research Insights on Text Mining Analysis: Establishing the Most Used and Trends in Keywords of Design Research Journals

Nusir

Louati

et al. 2022

Electronics

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Design research topics attract exponentially more attention and consideration among researchers. This study is the first research article that endeavors to analyze selected design research publications using an advanced approach called “text mining”. This approach speculates its results depending on the existence of a research term (i.e., keywords), which can be more robust than other methods/approaches that rely on contextual data or authors’ perspectives. The main aim of this research paper is to expand knowledge and familiarity with design research and explore future research directions by addressing the gaps in the literature; relying on the literature review, it can be stated that the research area in the design domain still not built-up a theory, which can unify the field. In general, text mining with these features allows increased validity and generalization as compared to other approaches in the literature. We used a text mining technique to collect data and analyzed 3553 articles collected in 10 journals using 17,487 keywords. New topics were investigated in the domain of design concepts, which included attracting researchers, practitioners, and journal editorial boards. Such issues as co-innovation, ethical design, social practice design, conceptual thinking, collaborative design, creativity, and generative methods and tools were subject to additional research. On the other hand, researchers pursued topics such as collaborative design, human-centered design, interdisciplinary design, design education, participatory design, design practice, collaborative design, design development, collaboration, design theories, design administration, and service/product design areas. The key categories investigated and reported in this paper helped in determining what fields are flourishing and what fields are eroding.

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Section: Research Methods Conducted In the Designmentioning

confidence: 99%

Design Research Insights on Text Mining Analysis: Establishing the Most Used and Trends in Keywords of Design Research Journals

Nusir

Louati

et al. 2022

Electronics

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show abstract

“…For this reason, they need to be standardized. In our proposed technique, four pre-processing techniques have been utilized, which are: changing the text's case to lowercase; using regular expressions to remove the extraneous numbers; eliminating all punctuation from the text; and removing empty spaces by using the strip() function [44][45][46]. The split() method is then applied to the key files to calculate the number of keyphrases based on the newline (\n) (also shown in Figure 2).…”

Section: Documents and Keys Pre-processingmentioning

confidence: 99%

A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles

et al. 2022

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Automated keyphrase extraction is crucial for extracting and summarizing relevant information from a variety of publications in multiple domains. However, the extraction of good-quality keyphrases and the summarising of information to a good standard have become extremely challenging in recent research because of the advancement of technology and the exponential development of digital sources and textual information. Because of this, the usage of keyphrase features for keyphrase extraction techniques has recently gained tremendous popularity. This paper proposed a new unsupervised region-based keyphrase centroid and frequency analysis technique, named the KCFA technique, for keyphrase extraction as a feature. Data/datasets collection, data pre-processing, statistical methodologies, curve plotting analysis, and curve fitting technique are the five main processes in the proposed technique. To begin, the technique collects multiple datasets from diverse sources, which are then input into the data pre-processing step by utilizing some text pre-processing processes. Afterward, the region-based statistical methodologies receive the pre-processed data, followed by the curve plotting examination and, lastly, the curve fitting technique. The proposed technique is then tested and evaluated using ten (10) best-accessible benchmark datasets from various disciplines. The proposed approach is then compared to our available methods to demonstrate its efficacy, advantages, and importance. Lastly, the results of the experiment show that the proposed method works well to analyze the centroid and frequency of keyphrases from academic articles. It provides a centroid of 706.66 and a frequency of 38.95% in the first region, 2454.21 and 7.98% in the second region, for a total frequency of 68.11%.

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Improving completeness and consistency of co-reference annotation standard

Farha

Wan³

et al. 2022

Wireless Netw

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CDCAT: A multi-language cross-document entity and event coreference annotation tool

Cited by 4 publications

References 6 publications

Design Research Insights on Text Mining Analysis: Establishing the Most Used and Trends in Keywords of Design Research Journals

Design Research Insights on Text Mining Analysis: Establishing the Most Used and Trends in Keywords of Design Research Journals

A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles

Improving completeness and consistency of co-reference annotation standard

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